Results 191 to 200 of about 40,557 (254)

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

open access: yesAdvanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He   +2 more
wiley   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

open access: yesAdvanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy   +2 more
wiley   +1 more source

The intersection of health inequalities and COVID‐19: Evidence from National Health Insurance Big Data in South Korea

open access: yesAmerican Journal of Community Psychology, EarlyView.
Abstract Health inequalities persist along lines of income and wealth, shaped by unequal access to healthcare, differences in health behaviors, and pre‐existing chronic conditions. The COVID‐19 pandemic further put families in Korea under health strain and worsened their health outcomes.
Jaehyun Nam   +3 more
wiley   +1 more source

2026 Update on the Management of Diffuse Large B‐Cell Lymphoma

open access: yesAmerican Journal of Hematology, EarlyView.
ABSTRACT Diffuse large B‐cell lymphoma (DLBCL) is the most common type of NHL in the Western Hemisphere. It comprises a heterogenous group of lymphomas, with different biology and clinical prognoses. R‐CHP remains the backbone of therapy, and frontline therapeutic options in fit patients are pola‐R‐CHP and R‐CHOP, whereas elderly or frail/unfit ...
Elise A. Chong   +2 more
wiley   +1 more source

The Association of Sleeping Duration and Sleep Problems With All‐Cause Mortality Among a Cohort of Industrial Workers Followed Up for 36 Years

open access: yesAmerican Journal of Industrial Medicine, EarlyView.
ABSTRACT Background Sleep duration is a well‐established factor associated with all‐cause mortality and cardiovascular mortality. Poor sleep quality was also suggested to affect all‐cause mortality risk among adults. The Cardiovascular Occupational Risk Factor determination in Israel Study (CORDIS) is a prospective cohort study of industrial workers ...
Gil Harari, Anat Gesser‐Edelsburg
wiley   +1 more source

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